Intelligent substation secondary safety measure generation method and system considering operation risk

Abstract

The invention provides an intelligent substation secondary safety measure generation method and system considering operation risks. The method comprises the following steps: inputting basic parameters of an intelligent substation; constructing a link matrix model based on links associated with the basic parameters and the secondary safety measures and corresponding isolation measures; based on the total number of different operation modes, the total number of all operation modes, the total number of different operation objects and the total number of all operation objects in the secondary safety measure, constructing an operation complexity model; constructing an operation risk model based on the operation maloperation risk cost and the operation failure risk cost; establishing a target function by using the operation complexity model and the operation risk model; the link matrix model, the operation complexity model and the operation risk model are used as constraint conditions, the target function is solved, the optimal comprehensive cost is obtained, the operation maloperation risk cost and the operation failure risk cost are quantified, the target function solving mode is combined, compared with manual compilation, the reliability of the secondary safety measure is effectively improved, and the reliability of the secondary safety measure is improved. And the complexity is reduced.

Description

Technical Field

[0001] This invention relates to the field of relay protection technology, and in particular to a method and system for generating secondary safety measures for intelligent substations that takes into account operational risks. Background Technology

[0002] The construction of smart grids is a crucial support for promoting energy transformation. As a key node in the power grid, the safe and stable operation of smart substations directly affects the reliability of the power system. With the large-scale construction of smart substations, the security isolation measures (secondary security measures) of the secondary systems within the substations face new technical challenges. Unlike the physical connection method of traditional substations, smart substations adopt a "three-layer, two-network" digital architecture. While this virtualized communication method improves system flexibility, it also makes the security isolation state lose its intuitive physical breakpoint, leading to a "cannot see, cannot touch" technical dilemma for maintenance personnel when performing maintenance isolation operations.

[0003] Current industry standards require the adoption of a "dual" isolation principle, meaning that each communication link must implement at least two isolation measures simultaneously. While this design theoretically improves security, it exposes significant problems in practical applications: First, redundant operations result in an average of 15-20 additional isolation steps being performed per maintenance, exponentially increasing operational complexity; second, the multi-step operation chain carries the dual risks of accidental activation and failure.

[0004] Furthermore, existing secondary safety measures are usually manually prepared, which depends on the technical level of the preparer. The safety factor is unstable and there are often a lot of redundant operations, resulting in poor reliability and high complexity of secondary safety measures. Summary of the Invention

[0005] This invention provides a method and system for generating secondary safety measures for intelligent substations that takes into account operational risks, in order to solve the defects of high operational complexity and insufficient risk control in the secondary safety measures of intelligent substations in the prior art.

[0006] In a first aspect, the present invention provides a method for generating secondary safety measures for intelligent substations that takes into account operational risks, comprising: Input the basic parameters of the intelligent substation; Based on the basic parameters and the links associated with the secondary security measures, and the corresponding isolation measures, a link matrix model is constructed; Based on the total number of different operation methods, the total number of all operation methods, the total number of different operation objects, and the total number of all operation objects in the secondary safety measures, an operation complexity model is constructed. An operational risk model is constructed based on the risk costs of operational malfunctions and operational failures. Using the operational complexity model and the operational risk model, an objective function is established; The objective function is solved under the constraints of the link matrix model, the operation complexity model, and the operation risk model to obtain the optimal overall cost.

[0007] According to the present invention, a method for generating secondary safety measures in a smart substation considering operational risks includes constructing a link matrix model based on the basic parameters, the links associated with the secondary safety measures, and the corresponding isolation measures. The rows of the link matrix model are respectively defined as the following: the maintenance pressure plate, the GOOSE transmit soft pressure plate, the GOOSE receive soft pressure plate, the SV soft pressure plate, the fiber optic channel disconnection, and the smart terminal exit hard pressure plate. The link matrix model is constructed by defining the links as columns in the link matrix model and each element as a specific isolation measure for a particular link.

[0008] According to the present invention, a method for generating secondary safety measures for intelligent substations considering operational risks is provided, wherein the link matrix model is as follows: ; in, L Represents the link matrix model. L m Representing the m Link, 0-1 variables l im Representing the m The first link i Various isolation measures.

[0009] According to the present invention, a method for generating secondary safety measures for intelligent substations considering operational risks is provided, wherein the construction of the operational complexity model includes: Determine the operation weight coefficients of the soft pressure plate, hard pressure plate, and fiber optic channel in the secondary security measures, as well as the corresponding number of operations; Based on the operation weight coefficient and the number of operations, determine the total number of all operation objects in the secondary safety measures; By utilizing the total number of all operation objects, combined with the total number of different operation methods in the secondary safety measures, the total number of all operation methods, and the total number of different operation objects, an operation complexity model is constructed.

[0010] According to the present invention, a method for generating secondary safety measures for intelligent substations that considers operational risks is provided, wherein the operational complexity model is as follows: ; in, C op This represents the operational complexity of the secondary safety measures. n 1 and N 1 represents the total number of different operation methods and the total number of all operation methods in the secondary safety measures, respectively.n 2 and N 2 represents the total number of different operation objects and the total number of all operation objects in the secondary safety measures, respectively.

[0011] According to the present invention, a method for generating secondary safety measures for intelligent substations considering operational risks is provided, wherein the construction of the operational risk model includes: The cost of operational error risk is determined based on the electricity price factor, the load loss caused by operational errors, the operational error rate, and isolation measures. The cost of operational failure risk is determined based on the electricity price factor, load loss caused by link failure, operational failure rate, and isolation measures. The operational malfunction risk cost and the operational failure risk cost are used as the operational risk model.

[0012] According to the present invention, a method for generating secondary safety measures for intelligent substations considering operational risks is provided, wherein establishing an objective function using the operational complexity model and the operational risk model includes: Based on the operational malfunction risk cost, the operational failure risk cost, and the operational complexity model, corresponding independent objective functions are determined respectively; The independent objective functions are linearly weighted to obtain the single-objective optimization objective function.

[0013] According to the present invention, a method for generating secondary safety measures for intelligent substations that considers operational risks is provided, wherein the objective function of the single-objective optimization is: ; in, , , These represent the weighting coefficients of the operational error risk cost, the operational failure risk cost, and the operational complexity model, respectively. , , These represent the operational error risk cost, operational failure risk cost, and operational complexity model, respectively.

[0014] According to the present invention, a method for generating secondary safety measures for intelligent substations considering operational risks is provided, wherein the basic parameters include: The document outlines the operational procedures for various fiber optic channels, including: soft pressure plate operation, hard pressure plate operation, fiber optic channel operation, parameter adjustment, GOOSE receive soft pressure plate malfunction rate, SV soft pressure plate malfunction rate, GOOSE transmit soft pressure plate malfunction rate, pressure plate malfunction rate for maintenance, output hard pressure plate malfunction rate, fiber disconnection malfunction rate, GOOSE receive soft pressure plate malfunction and load loss, SV soft pressure plate malfunction and load loss, GOOSE transmit soft pressure plate malfunction and load loss, pressure plate malfunction and load loss for maintenance, output hard pressure plate malfunction and load loss, fiber disconnection malfunction and load loss, load loss from each link failure, GOOSE receive soft pressure plate failure rate, SV soft pressure plate failure rate, GOOSE transmit soft pressure plate failure rate, and pressure plate malfunction rate for maintenance.

[0015] Secondly, the present invention provides a smart substation secondary safety measure generation system that takes into account operational risks, comprising: The input module is used to input the basic parameters of the intelligent substation. The construction module is used to construct a link matrix model based on the basic parameters and the links associated with the secondary safety measures, as well as the corresponding isolation measures; to construct an operation complexity model based on the total number of different operation modes and the total number of all operation modes, the total number of different operation objects and the total number of all operation objects in the secondary safety measures; and to construct an operation risk model based on the risk cost of operation malfunction and the risk cost of operation failure. A module is established to create an objective function using the operational complexity model and the operational risk model. The solution module is used to solve the objective function under the constraints of the link matrix model, the operation complexity model, and the operation risk model to obtain the optimal overall cost.

[0016] Thirdly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the intelligent substation secondary safety measure generation method considering operational risks as described above.

[0017] Fourthly, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for generating secondary safety measures for intelligent substations that takes into account operational risks as described above.

[0018] Fifthly, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the intelligent substation secondary safety measure generation method considering operational risks as described above.

[0019] The present invention provides a method and system for generating secondary safety measures for intelligent substations that consider operational risks. The method includes: inputting basic parameters of the intelligent substation; constructing a link matrix model based on the basic parameters, the links associated with the secondary safety measures, and the corresponding isolation measures; constructing an operational complexity model based on the total number of different operation modes, the total number of all operation modes, the total number of different operation objects, and the total number of all operation objects in the secondary safety measures; constructing an operational risk model based on the risk costs of operational malfunction and operational failure; establishing an objective function using the operational complexity model and the operational risk model; and solving the objective function using the link matrix model, the operational complexity model, and the operational risk model as constraints to obtain the optimal comprehensive cost. By quantifying the risk costs of operational malfunction and operational failure, and combining this with the objective function solution method, the reliability of secondary safety measures is effectively improved and the complexity is reduced compared to manual compilation. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating the method for generating secondary safety measures for intelligent substations that takes into account operational risks, provided in this embodiment. Figure 2 Is with Figure 1 Corresponding structural principle diagram; Figure 3 This is a comparison diagram of the downlink matrix of the five schemes provided in this embodiment during the experiment; Figure 4 This is a schematic diagram of the structure of the intelligent substation secondary safety measure generation system that takes into account operational risks, provided in this embodiment. Figure 5 This is a schematic diagram of the structure of the electronic device provided in this embodiment. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0023] Figure 1This is a flowchart illustrating the method for generating secondary safety measures for intelligent substations that takes into account operational risks, as provided in this embodiment. Figure 2 Is with Figure 1 The corresponding structural principle diagram.

[0024] like Figure 1 As shown in the figure, the method for generating secondary safety measures for intelligent substations that considers operational risks, provided by an embodiment of the present invention, mainly includes the following steps: 101. Input the basic parameters of the intelligent substation.

[0025] In a specific implementation process, secondary safety measures include exiting the generic object-oriented substation events (GOOSE) receiving / transmitting soft switch, exiting the sampled value (SV) soft switch, exiting the smart terminal output hard switch, engaging the maintenance switch, and disconnecting the fiber optic channel.

[0026] The basic parameters of a smart substation include: soft pressure plate operation steps, hard pressure plate operation steps, fiber optic channel operation steps, adjustment parameters, GOOSE receive soft pressure plate malfunction rate, SV soft pressure plate malfunction rate, GOOSE transmit soft pressure plate malfunction rate, maintenance pressure plate malfunction rate, exit hard pressure plate malfunction rate, fiber optic cable disconnection malfunction rate, GOOSE receive soft pressure plate malfunction and load loss, SV soft pressure plate malfunction and load loss, GOOSE transmit soft pressure plate malfunction and load loss, maintenance pressure plate malfunction and load loss, exit hard pressure plate malfunction and load loss, fiber optic cable disconnection malfunction and load loss, load loss due to link failure, GOOSE receive soft pressure plate failure rate, SV soft pressure plate failure rate, GOOSE transmit soft pressure plate failure rate, and maintenance pressure plate failure rate.

[0027] 102. Based on the links associated with the basic parameters and secondary security measures, and the corresponding isolation measures, construct a link matrix model.

[0028] The link matrix is ​​designed to depict in detail the links associated with secondary security measures and their possible disconnection methods. In an m×n link matrix, each row corresponds to a specific isolation measure, each column represents a link, and each element represents a specific isolation measure for a specific link.

[0029] The link matrix constructed based on the basic security measures is a 6×n matrix, with the following structure (1): (1) In the formula, L Represents the link matrix. L m Representing the mLink, 0-1 variables l im Representing the m The first link i The isolation measures are specified (0 indicates that no corresponding isolation measures are used for this link). Each row of the link matrix represents the activation of the maintenance switch, the deactivation of the GOOSE transmit soft switch, the deactivation of the GOOSE receive soft switch, the deactivation of the SV soft switch, the disconnection of the fiber optic channel, and the deactivation of the smart terminal exit hard switch.

[0030] Engaging the maintenance switch is equivalent to simultaneously disconnecting all links associated with this IED, therefore: (2) In the formula, the subscript 1a , 1b These represent two links that perform logical judgments when the pressure plate is put into or taken out of maintenance.

[0031] Disconnecting the fiber optic cable will create a clear communication break between the two connected IEDs, as shown below: (3) In the formula, the subscript 4 c 4 d These represent two links connected by optical fibers.

[0032] Each link should have at least one security measure: (4) Disconnecting the fiber optic cable is the lowest priority isolation method. (5) 103. Based on the total number of different operation methods, the total number of all operation methods, the total number of different operation objects, and the total number of all operation objects in the secondary security measures, construct an operation complexity model.

[0033] The complexity of the secondary safety operation can be calculated using the improved Halstead method: (6) In the formula, C op This represents the operational complexity of the secondary safety measures. n 1 and N 1 represents the total number of different operation methods and the total number of all operation methods in the secondary safety measures, respectively. n 2 and N 2 represents the total number of different operation objects and the total number of all operation objects in the secondary safety measures, respectively.

[0034] Different operations contribute differently to the complexity, requiring adjustments to the total number of operations. (7) In the formula, w i( i =1,2,3) represent the operation weight coefficients for the soft clamping plate, hard clamping plate, and fiber channel, respectively. o i ( i =1,2,3) represents the corresponding number of operations. For simplicity, the subscripts of the variables will not be used below. i Special notes are provided.

[0035] Weighting coefficient w i It can be calculated using the following formula: (8) In the formula, w i For different operation weighting coefficients. D i These are the operating steps. F i Historical operation frequency β It is an adjustment parameter used to balance the impact of difficulty and frequency on weight.

[0036] To make the weights comparable, the weights need to be normalized. The corrected counts are: (9) When operating the maintenance pressure plate and fiber optic channel, all associated links will be disconnected. This will result in a large number of elements set to 1 in rows 1 and 5 of the link matrix. Simply summing the elements in rows 1 and 5 of the link matrix will cause duplicate counting. The following counting method will be used for both operations: (10) In the formula, N j For the number of associated links, o 1,0 and o 2,0 This is the count obtained by summing the elements in rows 1 and 5.

[0037] 104. Construct an operational risk model based on the risk costs of operational malfunction and operational failure.

[0038] The cost of loss of load due to accidental operation of other functions is calculated by the following formula: (11) In the formula, C w To account for the cost of operational error risk, c e Represents the electricity price coefficient.P e,ij Represents the j-th link in the j-th link. i Loss of load caused by erroneous operation P ij For the j-th link, the first... i The error rate of this type of operation. l ij For the first j Link number i Isolation measures.

[0039] Costs of loss of load due to operational failure: (12) In the formula, C s Costs associated with operational failure risks P ab,j For the first j Load loss caused by link failure P s,ij For the first j The first in the link i The failure rate of this operation.

[0040] 105. Establish the objective function using the operational complexity model and the operational risk model.

[0041] Establish an objective function that minimizes operational complexity and operational risk costs, such as: (13) (14) (15) In the formula, f ( l ij ), g ( l ij )and z ( l ij ) represents about lij Different forms of functions.

[0042] The multi-objective optimization problem is transformed into a single-objective optimization problem based on the linear weighting method: (16) In the formula, , , These represent the weighting coefficients of the operational error risk cost, the operational failure risk cost, and the operational complexity model, respectively. , , These represent the operational error risk cost, operational failure risk cost, and operational complexity model, respectively.

[0043] 106. Solve the objective function under the constraints of the link matrix model, the operational complexity model, and the operational risk model to obtain the optimal overall cost.

[0044] Based on the aforementioned objective function and constraints, the optimal quadratic safety measure model is reduced to the following optimization problem: (17) Link matrix constraints: Equations (1) to (5) st complexity model: Equations (7)~(10) Risk cost model: Equations (11)~(12): The commercial solver SPI can be used to solve it.

[0045] In this embodiment, by quantifying the risk costs of operational malfunctions and operational failures, and combining this with the objective function solution, the reliability of secondary safety measures is effectively improved and the complexity is reduced compared to manual compilation.

[0046] To further verify the effectiveness of the method of the present invention, secondary safety measures were formulated by taking the overhaul of the first 220kV line protection device of a smart substation as an example.

[0047] Input data: Input the basic parameters of the smart substation, including: soft pressure plate operation steps, hard pressure plate operation steps, fiber optic channel operation steps, adjustment parameters, GOOSE receive soft pressure plate malfunction rate, SV soft pressure plate malfunction rate, GOOSE transmit soft pressure plate malfunction rate, maintenance pressure plate malfunction rate, exit hard pressure plate malfunction rate, fiber optic malfunction rate, GOOSE receive soft pressure plate malfunction and load loss, SV soft pressure plate malfunction and load loss, GOOSE transmit soft pressure plate malfunction and load loss, maintenance pressure plate malfunction and load loss, exit hard pressure plate malfunction and load loss, fiber optic malfunction and load loss, link 1 failure and load loss, link 2 failure and load loss, link 3 failure and load loss, link 4 failure and load loss, GOOSE receive soft pressure plate failure rate, SV soft pressure plate failure rate, GOOSE transmit soft pressure plate failure rate, and maintenance pressure plate failure rate, as given in Table 1.

[0048] Table 1 Input Parameters

[0049] Establish and solve the optimal secondary safety measure model for smart substations that considers operational risks: Using the link matrix, operational complexity, operational risk model, objective function, and constraints listed above, the link matrix and overall cost are obtained by solving the SPI CIP solver.

[0050] Experimental results: Five safety measures were proposed for overhauling the first 220kV line protection device of a smart substation, and the effectiveness and superiority of the method of this invention were compared and verified.

[0051] Option 1: Adopt typical secondary safety measures; Option 2: Adopt the optimal secondary safety measure model that does not consider operational risks; Option 3: Optimal secondary safety measure model taking into account the risk of operational misoperation; Option 4: Optimal secondary safety measure model taking into account the risk of operational failure; Option 5: Adopt the optimal quadratic safety measure model proposed in this paper.

[0052] Overall cost comparison: Table 2 shows the individual costs and total costs for the five options.

[0053] Table 2 Optimization results for each scheme

[0054] A comprehensive comparison, as shown in Table 2, reveals that the operational complexity of the five schemes, ranked from lowest to highest, is 2=3<5<4<1; the risk cost of accidental operation is ranked as 3<2<5<4<1; and the risk cost of failure is ranked as 1<4<5<3<2. This demonstrates, on the one hand, that the proposed scheme (Scheme 5) has significant advantages in reducing risk and operational complexity; and on the other hand, it also reflects the different impacts of operational complexity and operational risk.

[0055] Link matrix comparison: like Figure 3 The diagram shows a comparison of the link matrices under five schemes. Scheme 2 has two optimal solutions, the only difference being whether link 2 exits the GOOSE receiving or transmitting soft pressure plate. This is because the operation complexity of exiting only the receiving soft pressure plate is the same.

[0056] Comparing the link matrices of Scheme 2 and Scheme 3, it is evident that the risk of operational malfunction has a greater impact on the objective function than operational complexity. Therefore, in Scheme 3, Link 2 chooses to exit the GOOSE receiver soft pressure plate, and Link 4 chooses to exit the smart terminal hard pressure plate. This reflects a high level of emphasis on the risk of operational malfunction when formulating secondary security measures, sacrificing operational complexity to ensure safety.

[0057] Comparing the link matrices of Scheme 2 and Scheme 4, it can be seen that after taking into account the risk of operational failure, Scheme 4 prefers to take multiple safety measures to reduce the risk of failure. However, due to the limitation of operational complexity, Scheme 4 will not implement all safety measures.

[0058] Comparing the link matrices of Schemes 1 and 5, it is evident that Scheme 5 can reduce operational complexity and the cost of malfunction by appropriately increasing the failure risk of secondary safety measures. Comparing the link matrices of Schemes 2, 3, and 5, Scheme 5 is more reliable. Schemes that do not consider the cost of failure risk tend to reduce the number of operations to minimize the risk of malfunction and complexity, which easily leads to the risk of safety measure failure. Schemes 2 and 3 are difficult to apply in practice. Compared to Scheme 4, Scheme 5 further simplifies the safety measures of link 3, moderately reducing the risk of malfunction and complexity while ensuring the reliability of the safety measures, reflecting a trade-off between complexity and various risks.

[0059] Based on the same general inventive concept, this invention also protects a secondary safety measure generation system for intelligent substations that takes into account operational risks. The secondary safety measure generation system for intelligent substations that takes into account operational risks described below and the secondary safety measure generation method for intelligent substations that takes into account operational risks described above can be referred to in correspondence.

[0060] Figure 4 This is a schematic diagram of the structure of the intelligent substation secondary safety measure generation system that takes into account operational risks, provided in this embodiment.

[0061] like Figure 4 As shown, the intelligent substation secondary safety measure generation system considering operational risks provided in this embodiment includes: Input module 401 is used to input the basic parameters of the intelligent substation; Module 402 is used to construct a link matrix model based on the links associated with the basic parameters and secondary safety measures, and the corresponding isolation measures; to construct an operation complexity model based on the total number of different operation modes and the total number of all operation modes, the total number of different operation objects and the total number of all operation objects in the secondary safety measures; and to construct an operation risk model based on the risk cost of operation malfunction and the risk cost of operation failure. Module 403 is established to create an objective function using the operational complexity model and operational risk model. The solver module 404 is used to solve the objective function under the constraints of the link matrix model, the operational complexity model, and the operational risk model, and obtain the optimal overall cost.

[0062] Figure 5 This is a schematic diagram of the structure of the electronic device provided in this embodiment.

[0063] like Figure 5As shown, the electronic device may include a processor 501, a communication interface 502, a memory 503, and a communication bus 504. The processor 501, communication interface 502, and memory 503 communicate with each other via the communication bus 504. The processor 501 can call logical instructions from the memory 503 to execute a method for generating secondary safety measures for intelligent substations that considers operational risks.

[0064] Furthermore, the logical instructions in the aforementioned memory 503 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0065] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the intelligent substation secondary safety measure generation method considering operational risks provided by the above methods.

[0066] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the intelligent substation secondary safety measure generation method considering operational risks provided by the methods described above.

[0067] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0068] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for generating secondary safety measures for intelligent substations considering operational risks, characterized in that, include: Input the basic parameters of the intelligent substation; Based on the basic parameters and the links associated with the secondary security measures, and the corresponding isolation measures, a link matrix model is constructed; Based on the total number of different operation methods, the total number of all operation methods, the total number of different operation objects, and the total number of all operation objects in the secondary safety measures, an operation complexity model is constructed. An operational risk model is constructed based on the risk costs of operational malfunctions and operational failures. Using the operational complexity model and the operational risk model, an objective function is established; The objective function is solved under the constraints of the link matrix model, the operation complexity model, and the operation risk model to obtain the optimal overall cost.

2. The method for generating secondary safety measures for intelligent substations considering operational risks according to claim 1, characterized in that, The link matrix model, constructed based on the basic parameters and the links associated with the secondary security measures, and the corresponding isolation measures, includes: The rows of the link matrix model are respectively defined as the following: the maintenance pressure plate, the GOOSE transmit soft pressure plate, the GOOSE receive soft pressure plate, the SV soft pressure plate, the fiber optic channel disconnection, and the smart terminal exit hard pressure plate. The link matrix model is constructed by defining the links as columns in the link matrix model and each element as a specific isolation measure for a particular link.

3. The method for generating secondary safety measures for intelligent substations considering operational risks according to claim 2, characterized in that, The link matrix model is as follows: ； in, L Represents the link matrix model. L m Representing the m Link, 0-1 variables l im Representing the m The first link i Various isolation measures.

4. The method for generating secondary safety measures for intelligent substations considering operational risks according to claim 1, characterized in that, The construction operation complexity model includes: Determine the operation weight coefficients of the soft pressure plate, hard pressure plate, and fiber optic channel in the secondary security measures, as well as the corresponding number of operations; Based on the operation weight coefficient and the number of operations, determine the total number of all operation objects in the secondary safety measures; By utilizing the total number of all operation objects, combined with the total number of different operation methods in the secondary safety measures, the total number of all operation methods, and the total number of different operation objects, an operation complexity model is constructed.

5. The method for generating secondary safety measures for intelligent substations considering operational risks according to claim 4, characterized in that, The operation complexity model is as follows: ； in, C op This represents the operational complexity of the secondary safety measures. n 1 and N 1 represents the total number of different operation methods and the total number of all operation methods in the secondary safety measures, respectively. n 2 and N 2 represents the total number of different operation objects and the total number of all operation objects in the secondary safety measures, respectively.

6. The method for generating secondary safety measures for intelligent substations considering operational risks according to claim 1, characterized in that, The construction of the operational risk model includes: The cost of operational error risk is determined based on the electricity price factor, the load loss caused by operational errors, the operational error rate, and isolation measures. The cost of operational failure risk is determined based on the electricity price factor, load loss caused by link failure, operational failure rate, and isolation measures. The operational malfunction risk cost and the operational failure risk cost are used as the operational risk model.

7. The method for generating secondary safety measures for intelligent substations considering operational risks according to claim 1, characterized in that, The step of establishing an objective function using the operational complexity model and the operational risk model includes: Based on the operational malfunction risk cost, the operational failure risk cost, and the operational complexity model, corresponding independent objective functions are determined respectively; The independent objective functions are linearly weighted to obtain the single-objective optimization objective function.

8. The method for generating secondary safety measures for intelligent substations considering operational risks according to claim 7, characterized in that, The objective function for the single-objective optimization is: ； in, , , These represent the weighting coefficients of the operational error risk cost, the operational failure risk cost, and the operational complexity model, respectively. , , These represent the operational error risk cost, operational failure risk cost, and operational complexity model, respectively.

9. The method for generating secondary safety measures for intelligent substations considering operational risks according to any one of claims 1-8, characterized in that, The basic parameters include: The document outlines the operational procedures for various fiber optic channels, including: soft pressure plate operation, hard pressure plate operation, fiber optic channel operation, parameter adjustment, GOOSE receive soft pressure plate malfunction rate, SV soft pressure plate malfunction rate, GOOSE transmit soft pressure plate malfunction rate, pressure plate malfunction rate for maintenance, output hard pressure plate malfunction rate, fiber disconnection malfunction rate, GOOSE receive soft pressure plate malfunction and load loss, SV soft pressure plate malfunction and load loss, GOOSE transmit soft pressure plate malfunction and load loss, pressure plate malfunction and load loss for maintenance, output hard pressure plate malfunction and load loss, fiber disconnection malfunction and load loss, load loss from each link failure, GOOSE receive soft pressure plate failure rate, SV soft pressure plate failure rate, GOOSE transmit soft pressure plate failure rate, and pressure plate malfunction rate for maintenance.

10. A smart substation secondary safety measure generation system that considers operational risks, characterized in that, include: The input module is used to input the basic parameters of the intelligent substation. The construction module is used to construct a link matrix model based on the basic parameters and the links associated with the secondary safety measures, as well as the corresponding isolation measures; to construct an operation complexity model based on the total number of different operation modes and the total number of all operation modes, the total number of different operation objects and the total number of all operation objects in the secondary safety measures; and to construct an operation risk model based on the risk cost of operation malfunction and the risk cost of operation failure. A module is established to create an objective function using the operational complexity model and the operational risk model. The solution module is used to solve the objective function under the constraints of the link matrix model, the operation complexity model, and the operation risk model to obtain the optimal overall cost.

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